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Joseph K. Bradley commented on SPARK-7751: ------------------------------------------ I keep a JIRA dashboard which lists the newly created ML-related JIRAs, and I check each one to try to give it a little direction if needed. Ideally, I either watch the JIRA, or I ping someone on it to make sure a responsible party is watching it. Perhaps the component maintainers and committers could agree to divvy the JIRAs up somehow and watch each component's JIRAs like that. I worry that watching issues@ will not be scalable as Spark keeps growing. Q: Do you find it's important to watch issues@ for updates to JIRAs, or do you mainly watch it for newly created JIRAs? > Add @Since annotation to stable and experimental methods in MLlib > ----------------------------------------------------------------- > > Key: SPARK-7751 > URL: https://issues.apache.org/jira/browse/SPARK-7751 > Project: Spark > Issue Type: Umbrella > Components: Documentation, MLlib > Reporter: Xiangrui Meng > Assignee: Xiangrui Meng > Priority: Minor > Labels: starter > > This is useful to check whether a feature exists in some version of Spark. > This is an umbrella JIRA to track the progress. We want to have -@since tag- > @Since annotation for both stable (those without any > Experimental/DeveloperApi/AlphaComponent annotations) and experimental > methods in MLlib: > (Do NOT tag private or package private classes or methods, nor local > variables and methods.) > * an example PR for Scala: https://github.com/apache/spark/pull/8309 > We need to dig the history of git commit to figure out what was the Spark > version when a method was first introduced. Take `NaiveBayes.setModelType` as > an example. We can grep `def setModelType` at different version git tags. > {code} > meng@xm:~/src/spark > $ git show > v1.3.0:mllib/src/main/scala/org/apache/spark/mllib/classification/NaiveBayes.scala > | grep "def setModelType" > meng@xm:~/src/spark > $ git show > v1.4.0:mllib/src/main/scala/org/apache/spark/mllib/classification/NaiveBayes.scala > | grep "def setModelType" > def setModelType(modelType: String): NaiveBayes = { > {code} > If there are better ways, please let us know. > We cannot add all -@since tags- @Since annotation in a single PR, which is > hard to review. So we made some subtasks for each package, for example > `org.apache.spark.classification`. Feel free to add more sub-tasks for Python > and the `spark.ml` package. > Plan: > 1. In 1.5, we try to add @Since annotation to all stable/experimental methods > under `spark.mllib`. > 2. Starting from 1.6, we require @Since annotation in all new PRs. > 3. In 1.6, we try to add @SInce annotation to all stable/experimental methods > under `spark.ml`, `pyspark.mllib`, and `pyspark.ml`. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org